What I Wish I Had Known Before Scaling Uber [video]
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Re: What I Wish I Had Known Before Scaling Uber [video]
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#4Re: What I Wish I Had Known Before Scaling Uber [video]
#5I didn't see the video. But given that a cab-service has a natural sharding point (i.e., per city), I don't get why scaling is such an issue.
Re: What I Wish I Had Known Before Scaling Uber [video]
#6"Uber is most reliable over the weekends when engineers don't change it" :)
It's led to my personal conclusion that most production issues are caused by people, not errant hardware or systems.
Re: What I Wish I Had Known Before Scaling Uber [video]
#7I didn't see the video. But given that a cab-service has a natural sharding point (i.e., per city), I don't get why scaling is such an issue.
EDIT: to downvoters: why shoot the messenger? :)
Re: What I Wish I Had Known Before Scaling Uber [video]
#8"Uber is most reliable over the weekends when engineers don't change it" :)
We see this pattern at PagerDuty over the majority of our customers. There is a definite lull in alert volume over the weekends that picks up first thing Monday morning. It's led to my personal conclusion that most production issues are caused by people, not errant hardware or systems.
Re: What I Wish I Had Known Before Scaling Uber [video]
#9I didn't see the video. But given that a cab-service has a natural sharding point (i.e., per city), I don't get why scaling is such an issue.
Cab service on a planetary scale :) They have 2000 engineers, 800 microservices and 8000 GIT repositories. Does it still seem trivial to you? EDIT: to downvoters: why shoot the messenger? :)
Re: What I Wish I Had Known Before Scaling Uber [video]
#10I didn't see the video. But given that a cab-service has a natural sharding point (i.e., per city), I don't get why scaling is such an issue.